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Update README.md
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OOAAHH authored Oct 28, 2024
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让我们回到BioOS平台,来到我们的cellrangerTest页面。试试看,找到页面上的"运行参数"选项卡>输入参数>"上传JSON文件",将您的json文件上传。

然后,点击页面上的绿色按钮"开始分析",等待任务完成。
![image](Pics/scRNA-seq_fig.1.png)
![image](WDL_Tools/Pics/scRNA-seq_fig.1.png)

## 查看结果
任务完成后,您可以在分析历史中看到您的任务。点击任务名称,进入任务详情页面。在任务详情页面,您可以查看/下载结果。
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Bravo! 到此为止,您已经掌握了BioOS的基本使用方法,并成功完成了10X Genomics scRNA-seq的分析。但请注意,这只是冰山一角,BioOS还有更多的强大功能等待您的探索。下面,让我们结合一个更复杂的例子,来展示BioOS的强大之处。


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<pre><code class="language-json">
{
"cellranger_count_workflow.chemistry": "auto",
"cellranger_count_workflow.cpu": 32,
"cellranger_count_workflow.disk_space": "300 GB",
"cellranger_count_workflow.fastq_file_paths": [
"<span class=\"highlight\">\"s3://bioos-wcnjupodeig44rr6t02v0/Example_10X_data/ERR8048237/5891STDY8062334_S1_L001_I1_001.fastq.gz\"</span>",
"s3://bioos-wcnjupodeig44rr6t02v0/Example_10X_data/ERR8048237/5891STDY8062334_S1_L001_R1_001.fastq.gz",
"s3://bioos-wcnjupodeig44rr6t02v0/Example_10X_data/ERR8048237/5891STDY8062334_S1_L001_R2_001.fastq.gz"
],
"cellranger_count_workflow.memory": "225 GB",
"cellranger_count_workflow.no_bam": "False",
"cellranger_count_workflow.reference_genome_tar_gz": "s3://bioos-wcnjupodeig44rr6t02v0/Example_10X_data/RAW/refdata-cellranger-GRCh38-3.0.0.tar.gz",
"cellranger_count_workflow.run_id": "<span class=\"highlight\">\"ERR8048237\"</span>",
"cellranger_count_workflow.sample": "<span class=\"highlight\">\"5891STDY8062334\"</span>",
"cellranger_count_workflow.secondary": "False"
}
</code></pre>

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